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cccskills

'indicator' 검색 결과

446건 · 관련도순

Enriches indicators with context from threat-intel sources: planning lookups against reputation, passive DNS, WHOIS, and sandbox/sample databases, scoring confidence, and avoiding operational-security mistakes that tip off adversaries. Activates for requests to enrich IOCs, add threat context, or plan indicator lookups safely.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

meltedinhex/analyst-ai-pack222026년 7월 7일 업데이트

Analyzes species-environment relationships with constrained ordination (CCA, RDA, db-RDA), variance partitioning, indicator species (indicspecies IndVal.g group-equalized), PERMANOVA paired MANDATORILY with PERMDISP (Anderson & Walsh 2013; dispersion confounds centroid tests), Joint Species Distribution Models (HMSC, sjSDM, gjam) with explicit rejection of "residual covariance equals biotic interaction", phylogenetic community ecology (SES_MPD/MNTD), trait-environment via RLQ + fourth-corner with corrected modeltype=6 (Dray 2014), bipartite network metrics (NODF, modularity) with curveball null (Strona 2014), and Mantel-test replacements (dbRDA, GDM) for spatial data. Use when testing how environmental gradients structure communities, identifying habitat indicator taxa, partitioning variance among predictors, deciding whether PERMANOVA significance is location vs dispersion, picking among HMSC/sjSDM/gjam, or replacing Mantel tests for landscape data.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

lilinji/GeneTind-Life-Skills152026년 8월 21일 업데이트

Access 20+ years of global financial data: equities, options, forex, crypto, commodities, economic indicators, and 50+ technical indicators.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

sinhoneyy/master-skills142026년 9월 5일 업데이트

Load this skill when writing, reviewing, or interpreting behavioral accessibility automation — tests that manipulate a rendered page (resizing the viewport, pressing real keys, capturing and comparing screenshots) rather than only inspecting static markup or a single computed accessibility tree. Covers Reflow risk (SC 1.4.10) and Focus Visible risk (SC 2.4.7) checks. Absolutely always report indicator results separately from confirmed failures. Under no circumstances treat a clean behavioral scan as WCAG conformance, or collapse `cantTell`/test-error/indicator outcomes into a single pass/fail signal.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

LazyCats-dev/ao3-podfic-posting-helper112026년 10월 5일 업데이트

Access 20+ years of global financial data: equities, options, forex, crypto, commodities, economic indicators, and 50+ technical indicators.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

JantonioFC/skillsbank92026년 8월 4일 업데이트

Detects early-stage ransomware indicators in network traffic before encryption begins, including initial access broker activity, command-and-control beaconing, credential harvesting, reconnaissance scanning, and staging behavior. Uses network detection tools (Zeek, Suricata, Arkime), SIEM correlation rules, and threat intelligence feeds to identify ransomware precursor patterns such as Cobalt Strike beacons, Mimikatz network signatures, and RDP brute-force attempts. Activates for requests involving pre-ransomware detection, network-based ransomware indicators, or early warning ransomware monitoring.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

andycungkrinx91/konoha92026년 10월 19일 업데이트

Correlates disparate security incidents, IOCs, and adversary behaviors across time and organizations to identify unified threat campaigns, attribute them to common threat actors, and extract shared indicators for improved detection. Use when multiple incidents exhibit overlapping indicators, when sector-wide attack campaigns require cross-organizational analysis, or when building campaign-level intelligence products. Activates for requests involving campaign analysis, incident clustering, cross-organizational IOC correlation, or MISP correlation engine.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

andycungkrinx91/konoha92026년 10월 19일 업데이트

Build an automated pipeline to defang indicators of compromise (URLs, IPs, domains, emails) for safe sharing and distribute them in STIX format through TAXII feeds and threat intelligence platforms.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

andycungkrinx91/konoha92026년 10월 19일 업데이트

Identify ransomware network indicators including C2 beaconing patterns, TOR exit node connections, data exfiltration flows, and encryption key exchange via Zeek conn.log and NetFlow analysis

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

andycungkrinx91/konoha92026년 10월 19일 업데이트

Analyzes indicators of compromise (IOCs) including IP addresses, domains, file hashes, URLs, and email artifacts to determine maliciousness confidence, campaign attribution, and blocking priority. Use when triaging IOCs from phishing emails, security alerts, or external threat feeds; enriching raw IOCs with multi-source intelligence; or making block/monitor/whitelist decisions. Activates for requests involving VirusTotal, AbuseIPDB, MalwareBazaar, MISP, or IOC enrichment pipelines.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

andycungkrinx91/konoha92026년 10월 19일 업데이트

Access 20+ years of global financial data: equities, options, forex, crypto, commodities, economic indicators, and 50+ technical indicators.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

ranbot-ai/awesome-skills72026년 10월 19일 업데이트

Access 20+ years of global financial data: equities, options, forex, crypto, commodities, economic indicators, and 50+ technical indicators.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

lucaspmarie-a11y/claude-skills-vault52026년 6월 7일 업데이트

Detects early-stage ransomware indicators in network traffic before encryption begins, including initial access broker activity, command-and-control beaconing, credential harvesting, reconnaissance scanning, and staging behavior. Uses network detection tools (Zeek, Suricata, Arkime), SIEM correlation rules, and threat intelligence feeds to identify ransomware precursor patterns such as Cobalt Strike beacons, Mimikatz network signatures, and RDP brute-force attempts. Activates for requests involving pre-ransomware detection, network-based ransomware indicators, or early warning ransomware monitoring.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

micsapp/micstec-skills42026년 3월 20일 업데이트

Correlates disparate security incidents, IOCs, and adversary behaviors across time and organizations to identify unified threat campaigns, attribute them to common threat actors, and extract shared indicators for improved detection. Use when multiple incidents exhibit overlapping indicators, when sector-wide attack campaigns require cross-organizational analysis, or when building campaign-level intelligence products. Activates for requests involving campaign analysis, incident clustering, cross-organizational IOC correlation, or MISP correlation engine.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

micsapp/micstec-skills42026년 3월 20일 업데이트

Identify ransomware network indicators including C2 beaconing patterns, TOR exit node connections, data exfiltration flows, and encryption key exchange via Zeek conn.log and NetFlow analysis

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

micsapp/micstec-skills42026년 3월 20일 업데이트

Build an automated pipeline to defang indicators of compromise (URLs, IPs, domains, emails) for safe sharing and distribute them in STIX format through TAXII feeds and threat intelligence platforms.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

micsapp/micstec-skills42026년 3월 20일 업데이트

Analyzes indicators of compromise (IOCs) including IP addresses, domains, file hashes, URLs, and email artifacts to determine maliciousness confidence, campaign attribution, and blocking priority. Use when triaging IOCs from phishing emails, security alerts, or external threat feeds; enriching raw IOCs with multi-source intelligence; or making block/monitor/whitelist decisions. Activates for requests involving VirusTotal, AbuseIPDB, MalwareBazaar, MISP, or IOC enrichment pipelines.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

micsapp/micstec-skills42026년 3월 20일 업데이트

Analyzes species-environment relationships with constrained ordination (CCA, RDA, db-RDA), variance partitioning, indicator species (indicspecies IndVal.g group-equalized), PERMANOVA paired MANDATORILY with PERMDISP (Anderson & Walsh 2013; dispersion confounds centroid tests), Joint Species Distribution Models (HMSC, sjSDM, gjam) with explicit rejection of "residual covariance equals biotic interaction", phylogenetic community ecology (SES_MPD/MNTD), trait-environment via RLQ + fourth-corner with corrected modeltype=6 (Dray 2014), bipartite network metrics (NODF, modularity) with curveball null (Strona 2014), and Mantel-test replacements (dbRDA, GDM) for spatial data. Use when testing how environmental gradients structure communities, identifying habitat indicator taxa, partitioning variance among predictors, deciding whether PERMANOVA significance is location vs dispersion, picking among HMSC/sjSDM/gjam, or replacing Mantel tests for landscape data.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

peacezha/TRACE32026년 10월 20일 업데이트

Access 20+ years of global financial data: equities, options, forex, crypto, commodities, economic indicators, and 50+ technical indicators.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

phoroth/AGENTIC32026년 8월 8일 업데이트

Access 20+ years of global financial data: equities, options, forex, crypto, commodities, economic indicators, and 50+ technical indicators.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

nimoqup046-collab/agora32026년 3월 26일 업데이트

Analyzes species-environment relationships with constrained ordination (CCA, RDA, db-RDA), variance partitioning, indicator species (indicspecies IndVal.g group-equalized), PERMANOVA paired MANDATORILY with PERMDISP (Anderson & Walsh 2013; dispersion confounds centroid tests), Joint Species Distribution Models (HMSC, sjSDM, gjam) with explicit rejection of "residual covariance equals biotic interaction", phylogenetic community ecology (SES_MPD/MNTD), trait-environment via RLQ + fourth-corner with corrected modeltype=6 (Dray 2014), bipartite network metrics (NODF, modularity) with curveball null (Strona 2014), and Mantel-test replacements (dbRDA, GDM) for spatial data. Use when testing how environmental gradients structure communities, identifying habitat indicator taxa, partitioning variance among predictors, deciding whether PERMANOVA significance is location vs dispersion, picking among HMSC/sjSDM/gjam, or replacing Mantel tests for landscape data.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

peacezha/HPClaw32026년 10월 11일 업데이트

Use this skill to understand how FMCSA calculates the Crash Indicator BASIC. Covers what crashes count, severity weighting, time weighting, and the preventability program.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

x3allamerican/skills32026년 5월 17일 업데이트

Access 20+ years of global financial data: equities, options, forex, crypto, commodities, economic indicators, and 50+ technical indicators.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

MMEHDI0606/ai-agent-foundation-template22026년 5월 21일 업데이트

Detects early-stage ransomware indicators in network traffic before encryption begins, including initial access broker activity, command-and-control beaconing, credential harvesting, reconnaissance scanning, and staging behavior. Uses network detection tools (Zeek, Suricata, Arkime), SIEM correlation rules, and threat intelligence feeds to identify ransomware precursor patterns such as Cobalt Strike beacons, Mimikatz network signatures, and RDP brute-force attempts. Activates for requests involving pre-ransomware detection, network-based ransomware indicators, or early warning ransomware monitoring.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

aniket2348823/Vul-Agent22026년 6월 9일 업데이트